Airbnb Booking

Dataset statistics

Number of variables	17
Number of observations	546651
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	84918
Duplicate rows (%)	15.5%
Total size in memory	70.9 MiB
Average record size in memory	136.0 B

Variable types

Numeric	9
Categorical	8

Alerts

Dataset has 84918 (15.5%) duplicate rows	Duplicates
`signup_flow` is highly correlated with `affiliate_channel` and 1 other fields	High correlation
`days_from_account_created_until_first_booking` is highly correlated with `day_first_booking` and 2 other fields	High correlation
`day_first_booking` is highly correlated with `days_from_account_created_until_first_booking` and 2 other fields	High correlation
`day_of_week_first_booking` is highly correlated with `day_of_week_account_created`	High correlation
`year_account_created` is highly correlated with `days_from_account_created_until_first_booking` and 1 other fields	High correlation
`day_account_created` is highly correlated with `day_first_booking`	High correlation
`day_of_week_account_created` is highly correlated with `day_of_week_first_booking`	High correlation
`week_of_year_account_created` is highly correlated with `year_account_created`	High correlation
`affiliate_channel` is highly correlated with `signup_flow` and 2 other fields	High correlation
`first_affiliate_tracked` is highly correlated with `affiliate_channel`	High correlation
`signup_app` is highly correlated with `signup_flow` and 1 other fields	High correlation
`country_destination` is highly correlated with `days_from_account_created_until_first_booking` and 1 other fields	High correlation
`days_from_first_active_until_account_created` is highly skewed (γ1 = 67.7710734)	Skewed
`signup_flow` has 440570 (80.6%) zeros	Zeros
`days_from_first_active_until_account_created` has 545687 (99.8%) zeros	Zeros
`days_from_account_created_until_first_booking` has 122231 (22.4%) zeros	Zeros
`day_of_week_first_booking` has 127650 (23.4%) zeros	Zeros
`day_of_week_account_created` has 89920 (16.4%) zeros	Zeros

Reproduction

Analysis started	2022-09-09 20:13:41.933881
Analysis finished	2022-09-09 20:14:27.694805
Duration	45.76 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

signup_flow
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.79915522

Minimum	0
Maximum	25
Zeros	440570
Zeros (%)	80.6%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	18
Maximum	25
Range	25
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.542365681
Coefficient of variation (CV)	3.08053781
Kurtosis	10.61813579
Mean	1.79915522
Median Absolute Deviation (MAD)	0
Skewness	3.431729962
Sum	983510
Variance	30.71781734
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	440570	80.6%
1	23979	4.4%
2	20907	3.8%
25	13496	2.5%
3	11125	2.0%
12	9423	1.7%
24	8033	1.5%
23	3111	0.6%
5	1616	0.3%
4	1605	0.3%
Other values (16)	12786	2.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	440570	80.6%
1	23979	4.4%
2	20907	3.8%
3	11125	2.0%
4	1605	0.3%
5	1616	0.3%
6	1460	0.3%
7	1291	0.2%
8	1395	0.3%
9	1161	0.2%

Value	Count	Frequency (%)
25	13496	2.5%
24	8033	1.5%
23	3111	0.6%
22	628	0.1%
21	834	0.2%
20	426	0.1%
19	432	0.1%
18	443	0.1%
17	469	0.1%
16	429	0.1%

days_from_first_active_until_account_created
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	324
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2278418955

Minimum	0
Maximum	1456
Zeros	545687
Zeros (%)	99.8%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1456
Range	1456
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	10.34201202
Coefficient of variation (CV)	45.39117795
Kurtosis	5689.364061
Mean	0.2278418955
Median Absolute Deviation (MAD)	0
Skewness	67.7710734
Sum	124550
Variance	106.9572126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	545687	99.8%
1	91	< 0.1%
2	76	< 0.1%
4	63	< 0.1%
3	61	< 0.1%
5	16	< 0.1%
6	12	< 0.1%
13	12	< 0.1%
10	9	< 0.1%
16	8	< 0.1%
Other values (314)	616	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	545687	99.8%
1	91	< 0.1%
2	76	< 0.1%
3	61	< 0.1%
4	63	< 0.1%
5	16	< 0.1%
6	12	< 0.1%
7	5	< 0.1%
8	4	< 0.1%
9	8	< 0.1%

Value	Count	Frequency (%)
1456	1	< 0.1%
1369	1	< 0.1%
1361	1	< 0.1%
1148	1	< 0.1%
1036	1	< 0.1%
1011	1	< 0.1%
1006	1	< 0.1%
993	1	< 0.1%
984	1	< 0.1%
962	1	< 0.1%

days_from_account_created_until_first_booking
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	1971
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	116.1756386

Minimum	-349
Maximum	2001
Zeros	122231
Zeros (%)	22.4%
Negative	231
Negative (%)	< 0.1%
Memory size	4.2 MiB

Quantile statistics

Minimum	-349
5-th percentile	0
Q1	1
median	6
Q3	104
95-th percentile	673
Maximum	2001
Range	2350
Interquartile range (IQR)	103

Descriptive statistics

Standard deviation	241.2298612
Coefficient of variation (CV)	2.076423803
Kurtosis	9.71243456
Mean	116.1756386
Median Absolute Deviation (MAD)	6
Skewness	2.964137586
Sum	63507529
Variance	58191.84595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	122231	22.4%
1	67733	12.4%
2	30398	5.6%
3	19576	3.6%
4	14563	2.7%
5	11686	2.1%
6	10191	1.9%
7	9405	1.7%
8	7926	1.4%
9	6553	1.2%
Other values (1961)	246389	45.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-349	1	< 0.1%
-347	1	< 0.1%
-338	1	< 0.1%
-308	1	< 0.1%
-298	1	< 0.1%
-295	1	< 0.1%
-288	1	< 0.1%
-273	1	< 0.1%
-269	1	< 0.1%
-261	1	< 0.1%

Value	Count	Frequency (%)
2001	2	< 0.1%
1999	1	< 0.1%
1995	1	< 0.1%
1992	1	< 0.1%
1991	2	< 0.1%
1990	2	< 0.1%
1980	1	< 0.1%
1979	1	< 0.1%
1977	1	< 0.1%
1976	1	< 0.1%

day_first_booking
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.60590212

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	9
median	17
Q3	25
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	9.02490633
Coefficient of variation (CV)	0.5434758235
Kurtosis	-1.271097189
Mean	16.60590212
Median Absolute Deviation (MAD)	8
Skewness	-0.09524150734
Sum	9077633
Variance	81.44893427
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
29	67560	12.4%
5	17899	3.3%
15	17753	3.2%
16	17634	3.2%
23	17531	3.2%
13	17506	3.2%
22	17502	3.2%
3	17422	3.2%
4	17410	3.2%
25	17340	3.2%
Other values (21)	321094	58.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	14825	2.7%
2	16249	3.0%
3	17422	3.2%
4	17410	3.2%
5	17899	3.3%
6	16645	3.0%
7	15697	2.9%
8	15892	2.9%
9	17216	3.1%
10	16644	3.0%

Value	Count	Frequency (%)
31	2531	0.5%
30	9169	1.7%
29	67560	12.4%
28	14752	2.7%
27	15209	2.8%
26	16328	3.0%
25	17340	3.2%
24	16970	3.1%
23	17531	3.2%
22	17502	3.2%

day_of_week_first_booking
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.223343596

Minimum	0
Maximum	6
Zeros	127650
Zeros (%)	23.4%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.794642656
Coefficient of variation (CV)	0.8071818764
Kurtosis	-0.9769581362
Mean	2.223343596
Median Absolute Deviation (MAD)	1
Skewness	0.3564866122
Sum	1215393
Variance	3.220742261
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	127650	23.4%
2	94534	17.3%
1	93776	17.2%
3	85121	15.6%
4	71454	13.1%
5	53326	9.8%
6	20790	3.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	127650	23.4%
1	93776	17.2%
2	94534	17.3%
3	85121	15.6%
4	71454	13.1%
5	53326	9.8%
6	20790	3.8%

Value	Count	Frequency (%)
6	20790	3.8%
5	53326	9.8%
4	71454	13.1%
3	85121	15.6%
2	94534	17.3%
1	93776	17.2%
0	127650	23.4%

year_account_created
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

2013	222821
2012	156289
2014	112780
2011	48454
2010	6307

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	2186604
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2011
2nd row	2010
3rd row	2011
4th row	2010
5th row	2010

Common Values

Value	Count	Frequency (%)
2013	222821	40.8%
2012	156289	28.6%
2014	112780	20.6%
2011	48454	8.9%
2010	6307	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2013	222821	40.8%
2012	156289	28.6%
2014	112780	20.6%
2011	48454	8.9%
2010	6307	1.2%

Most occurring characters

Value	Count	Frequency (%)
2	702940	32.1%
1	595105	27.2%
0	552958	25.3%
3	222821	10.2%
4	112780	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2186604	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	702940	32.1%
1	595105	27.2%
0	552958	25.3%
3	222821	10.2%
4	112780	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	2186604	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	702940	32.1%
1	595105	27.2%
0	552958	25.3%
3	222821	10.2%
4	112780	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2186604	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	702940	32.1%
1	595105	27.2%
0	552958	25.3%
3	222821	10.2%
4	112780	5.2%

day_account_created
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.5483334

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.50659347
Coefficient of variation (CV)	0.5471064488
Kurtosis	-1.186168633
Mean	15.5483334
Median Absolute Deviation (MAD)	7
Skewness	-0.007569097575
Sum	8499512
Variance	72.36213246
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
22	19863	3.6%
24	19734	3.6%
3	19600	3.6%
16	19409	3.6%
13	19394	3.5%
23	19366	3.5%
27	19218	3.5%
15	19010	3.5%
21	18862	3.5%
25	18859	3.4%
Other values (21)	353336	64.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	14078	2.6%
2	16999	3.1%
3	19600	3.6%
4	18343	3.4%
5	18510	3.4%
6	18057	3.3%
7	18149	3.3%
8	18014	3.3%
9	18745	3.4%
10	18327	3.4%

Value	Count	Frequency (%)
31	3100	0.6%
30	12196	2.2%
29	16014	2.9%
28	17644	3.2%
27	19218	3.5%
26	18294	3.3%
25	18859	3.4%
24	19734	3.6%
23	19366	3.5%
22	19863	3.6%

day_of_week_account_created
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.457480184

Minimum	0
Maximum	6
Zeros	89920
Zeros (%)	16.4%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.76668792
Coefficient of variation (CV)	0.718902204
Kurtosis	-0.9641039054
Mean	2.457480184
Median Absolute Deviation (MAD)	1
Skewness	0.2654354691
Sum	1343384
Variance	3.121186208
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	102184	18.7%
1	100371	18.4%
3	90626	16.6%
0	89920	16.4%
4	77429	14.2%
5	59675	10.9%
6	26446	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	89920	16.4%
1	100371	18.4%
2	102184	18.7%
3	90626	16.6%
4	77429	14.2%
5	59675	10.9%
6	26446	4.8%

Value	Count	Frequency (%)
6	26446	4.8%
5	59675	10.9%
4	77429	14.2%
3	90626	16.6%
2	102184	18.7%
1	100371	18.4%
0	89920	16.4%

week_of_year_account_created
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.03569188

Minimum	1
Maximum	53
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	14
median	23
Q3	34
95-th percentile	48
Maximum	53
Range	52
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.25802809
Coefficient of variation (CV)	0.5515975226
Kurtosis	-0.8693094212
Mean	24.03569188
Median Absolute Deviation (MAD)	10
Skewness	0.2749158467
Sum	13139135
Variance	175.7753089
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19	17740	3.2%
26	17626	3.2%
23	17613	3.2%
21	17335	3.2%
25	16979	3.1%
20	16292	3.0%
24	16109	2.9%
22	16053	2.9%
18	15847	2.9%
17	15054	2.8%
Other values (43)	380003	69.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5566	1.0%
2	6247	1.1%
3	9887	1.8%
4	9732	1.8%
5	9360	1.7%
6	11291	2.1%
7	11144	2.0%
8	11486	2.1%
9	11834	2.2%
10	11559	2.1%

Value	Count	Frequency (%)
53	2	< 0.1%
52	3196	0.6%
51	4667	0.9%
50	6017	1.1%
49	7086	1.3%
48	6855	1.3%
47	7338	1.3%
46	8032	1.5%
45	8015	1.5%
44	6734	1.2%

gender
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

FEMALE	243863
MALE	215453
-unknown-	85653
OTHER	1682

Length

Max length	9
Median length	6
Mean length	5.678718232
Min length	4

Characters and Unicode

Total characters	3104277
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MALE
2nd row	FEMALE
3rd row	FEMALE
4th row	-unknown-
5th row	FEMALE

Common Values

Value	Count	Frequency (%)
FEMALE	243863	44.6%
MALE	215453	39.4%
-unknown-	85653	15.7%
OTHER	1682	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
female	243863	44.6%
male	215453	39.4%
unknown	85653	15.7%
other	1682	0.3%

Most occurring characters

Value	Count	Frequency (%)
E	704861	22.7%
M	459316	14.8%
A	459316	14.8%
L	459316	14.8%
n	256959	8.3%
F	243863	7.9%
-	171306	5.5%
u	85653	2.8%
k	85653	2.8%
o	85653	2.8%
Other values (5)	92381	3.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2333400	75.2%
Lowercase Letter	599571	19.3%
Dash Punctuation	171306	5.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	704861	30.2%
M	459316	19.7%
A	459316	19.7%
L	459316	19.7%
F	243863	10.5%
O	1682	0.1%
T	1682	0.1%
H	1682	0.1%
R	1682	0.1%

Lowercase Letter

Value	Count	Frequency (%)
n	256959	42.9%
u	85653	14.3%
k	85653	14.3%
o	85653	14.3%
w	85653	14.3%

Dash Punctuation

Value	Count	Frequency (%)
-	171306	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2932971	94.5%
Common	171306	5.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	704861	24.0%
M	459316	15.7%
A	459316	15.7%
L	459316	15.7%
n	256959	8.8%
F	243863	8.3%
u	85653	2.9%
k	85653	2.9%
o	85653	2.9%
w	85653	2.9%
Other values (4)	6728	0.2%

Common

Value	Count	Frequency (%)
-	171306	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3104277	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	704861	22.7%
M	459316	14.8%
A	459316	14.8%
L	459316	14.8%
n	256959	8.3%
F	243863	7.9%
-	171306	5.5%
u	85653	2.8%
k	85653	2.8%
o	85653	2.8%
Other values (5)	92381	3.0%

age
Real number (ℝ_≥0)

Distinct	99
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.41247158

Minimum	16
Maximum	115
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.2 MiB

Quantile statistics

Minimum	16
5-th percentile	23
Q1	28
median	34
Q3	43
95-th percentile	63
Maximum	115
Range	99
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	14.00167861
Coefficient of variation (CV)	0.3742516338
Kurtosis	5.989173921
Mean	37.41247158
Median Absolute Deviation (MAD)	6
Skewness	2.002420326
Sum	20451565
Variance	196.047004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	27868	5.1%
31	27503	5.0%
32	26907	4.9%
29	26399	4.8%
28	24123	4.4%
34	23292	4.3%
33	22965	4.2%
27	22097	4.0%
35	20400	3.7%
25	19094	3.5%
Other values (89)	306003	56.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	26	< 0.1%
17	81	< 0.1%
18	3435	0.6%
19	6529	1.2%
20	1589	0.3%
21	5727	1.0%
22	9441	1.7%
23	11905	2.2%
24	15017	2.7%
25	19094	3.5%

Value	Count	Frequency (%)
115	12	< 0.1%
113	4	< 0.1%
112	1	< 0.1%
111	2	< 0.1%
110	400	0.1%
109	35	< 0.1%
108	15	< 0.1%
107	23	< 0.1%
106	23	< 0.1%
105	6038	1.1%

signup_method
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

basic	344824
facebook	201279
google	548

Length

Max length	8
Median length	5
Mean length	6.105614002
Min length	5

Characters and Unicode

Total characters	3337640
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	facebook
2nd row	basic
3rd row	facebook
4th row	basic
5th row	basic

Common Values

Value	Count	Frequency (%)
basic	344824	63.1%
facebook	201279	36.8%
google	548	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
basic	344824	63.1%
facebook	201279	36.8%
google	548	0.1%

Most occurring characters

Value	Count	Frequency (%)
b	546103	16.4%
a	546103	16.4%
c	546103	16.4%
o	403654	12.1%
s	344824	10.3%
i	344824	10.3%
e	201827	6.0%
f	201279	6.0%
k	201279	6.0%
g	1096	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3337640	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
b	546103	16.4%
a	546103	16.4%
c	546103	16.4%
o	403654	12.1%
s	344824	10.3%
i	344824	10.3%
e	201827	6.0%
f	201279	6.0%
k	201279	6.0%
g	1096	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3337640	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
b	546103	16.4%
a	546103	16.4%
c	546103	16.4%
o	403654	12.1%
s	344824	10.3%
i	344824	10.3%
e	201827	6.0%
f	201279	6.0%
k	201279	6.0%
g	1096	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3337640	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
b	546103	16.4%
a	546103	16.4%
c	546103	16.4%
o	403654	12.1%
s	344824	10.3%
i	344824	10.3%
e	201827	6.0%
f	201279	6.0%
k	201279	6.0%
g	1096	< 0.1%

language
Categorical

Distinct	25
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

en	532305
fr	3420
es	2296
de	2236
zh	1694
Other values (20)	4700

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1093302
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	en
2nd row	en
3rd row	en
4th row	en
5th row	en

Common Values

Value	Count	Frequency (%)
en	532305	97.4%
fr	3420	0.6%
es	2296	0.4%
de	2236	0.4%
zh	1694	0.3%
it	1042	0.2%
ko	909	0.2%
ru	705	0.1%
nl	367	0.1%
pt	359	0.1%
Other values (15)	1318	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
en	532305	97.4%
fr	3420	0.6%
es	2296	0.4%
de	2236	0.4%
zh	1694	0.3%
it	1042	0.2%
ko	909	0.2%
ru	705	0.1%
nl	367	0.1%
pt	359	0.1%
Other values (15)	1318	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	536922	49.1%
n	532766	48.7%
r	4238	0.4%
f	3447	0.3%
s	2681	0.2%
d	2358	0.2%
h	1731	0.2%
z	1694	0.2%
t	1529	0.1%
i	1094	0.1%
Other values (9)	4842	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1093302	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	536922	49.1%
n	532766	48.7%
r	4238	0.4%
f	3447	0.3%
s	2681	0.2%
d	2358	0.2%
h	1731	0.2%
z	1694	0.2%
t	1529	0.1%
i	1094	0.1%
Other values (9)	4842	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1093302	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	536922	49.1%
n	532766	48.7%
r	4238	0.4%
f	3447	0.3%
s	2681	0.2%
d	2358	0.2%
h	1731	0.2%
z	1694	0.2%
t	1529	0.1%
i	1094	0.1%
Other values (9)	4842	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1093302	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	536922	49.1%
n	532766	48.7%
r	4238	0.4%
f	3447	0.3%
s	2681	0.2%
d	2358	0.2%
h	1731	0.2%
z	1694	0.2%
t	1529	0.1%
i	1094	0.1%
Other values (9)	4842	0.4%

affiliate_channel
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

direct	365381
sem-brand	71891
sem-non-brand	47479
seo	24102
other	15816
Other values (3)	21982

Length

Max length	13
Median length	6
Mean length	6.801626632
Min length	3

Characters and Unicode

Total characters	3718116
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	seo
2nd row	direct
3rd row	direct
4th row	direct
5th row	other

Common Values

Value	Count	Frequency (%)
direct	365381	66.8%
sem-brand	71891	13.2%
sem-non-brand	47479	8.7%
seo	24102	4.4%
other	15816	2.9%
api	13700	2.5%
content	5501	1.0%
remarketing	2781	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
direct	365381	66.8%
sem-brand	71891	13.2%
sem-non-brand	47479	8.7%
seo	24102	4.4%
other	15816	2.9%
api	13700	2.5%
content	5501	1.0%
remarketing	2781	0.5%

Most occurring characters

Value	Count	Frequency (%)
e	535732	14.4%
r	506129	13.6%
d	484751	13.0%
t	394980	10.6%
i	381862	10.3%
c	370882	10.0%
n	228111	6.1%
-	166849	4.5%
s	143472	3.9%
a	135851	3.7%
Other values (7)	369497	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3551267	95.5%
Dash Punctuation	166849	4.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	535732	15.1%
r	506129	14.3%
d	484751	13.7%
t	394980	11.1%
i	381862	10.8%
c	370882	10.4%
n	228111	6.4%
s	143472	4.0%
a	135851	3.8%
m	122151	3.4%
Other values (6)	247346	7.0%

Dash Punctuation

Value	Count	Frequency (%)
-	166849	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3551267	95.5%
Common	166849	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	535732	15.1%
r	506129	14.3%
d	484751	13.7%
t	394980	11.1%
i	381862	10.8%
c	370882	10.4%
n	228111	6.4%
s	143472	4.0%
a	135851	3.8%
m	122151	3.4%
Other values (6)	247346	7.0%

Common

Value	Count	Frequency (%)
-	166849	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3718116	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	535732	14.4%
r	506129	13.6%
d	484751	13.0%
t	394980	10.6%
i	381862	10.3%
c	370882	10.0%
n	228111	6.1%
-	166849	4.5%
s	143472	3.9%
a	135851	3.7%
Other values (7)	369497	9.9%

first_affiliate_tracked
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

untracked	300967
linked	119437
omg	110115
tracked-other	12068
product	3735
Other values (2)	329

Length

Max length	13
Median length	9
Mean length	7.210560303
Min length	3

Characters and Unicode

Total characters	3941660
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	untracked
2nd row	untracked
3rd row	untracked
4th row	untracked
5th row	untracked

Common Values

Value	Count	Frequency (%)
untracked	300967	55.1%
linked	119437	21.8%
omg	110115	20.1%
tracked-other	12068	2.2%
product	3735	0.7%
marketing	236	< 0.1%
local ops	93	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
untracked	300967	55.0%
linked	119437	21.8%
omg	110115	20.1%
tracked-other	12068	2.2%
product	3735	0.7%
marketing	236	< 0.1%
local	93	< 0.1%
ops	93	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	444776	11.3%
d	436207	11.1%
k	432708	11.0%
n	420640	10.7%
t	329074	8.3%
r	329074	8.3%
c	316863	8.0%
a	313364	8.0%
u	304702	7.7%
o	126104	3.2%
Other values (9)	488148	12.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3929499	99.7%
Dash Punctuation	12068	0.3%
Space Separator	93	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	444776	11.3%
d	436207	11.1%
k	432708	11.0%
n	420640	10.7%
t	329074	8.4%
r	329074	8.4%
c	316863	8.1%
a	313364	8.0%
u	304702	7.8%
o	126104	3.2%
Other values (7)	475987	12.1%

Dash Punctuation

Value	Count	Frequency (%)
-	12068	100.0%

Space Separator

Value	Count	Frequency (%)
	93	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3929499	99.7%
Common	12161	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	444776	11.3%
d	436207	11.1%
k	432708	11.0%
n	420640	10.7%
t	329074	8.4%
r	329074	8.4%
c	316863	8.1%
a	313364	8.0%
u	304702	7.8%
o	126104	3.2%
Other values (7)	475987	12.1%

Common

Value	Count	Frequency (%)
-	12068	99.2%
	93	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3941660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	444776	11.3%
d	436207	11.1%
k	432708	11.0%
n	420640	10.7%
t	329074	8.3%
r	329074	8.3%
c	316863	8.0%
a	313364	8.0%
u	304702	7.7%
o	126104	3.2%
Other values (9)	488148	12.4%

signup_app
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Web	504185
iOS	28680
Moweb	7944
Android	5842

Length

Max length	7
Median length	3
Mean length	3.071811814
Min length	3

Characters and Unicode

Total characters	1679209
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Web
2nd row	Web
3rd row	Web
4th row	Web
5th row	Web

Common Values

Value	Count	Frequency (%)
Web	504185	92.2%
iOS	28680	5.2%
Moweb	7944	1.5%
Android	5842	1.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
web	504185	92.2%
ios	28680	5.2%
moweb	7944	1.5%
android	5842	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	512129	30.5%
b	512129	30.5%
W	504185	30.0%
i	34522	2.1%
O	28680	1.7%
S	28680	1.7%
o	13786	0.8%
d	11684	0.7%
M	7944	0.5%
w	7944	0.5%
Other values (3)	17526	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1103878	65.7%
Uppercase Letter	575331	34.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	512129	46.4%
b	512129	46.4%
i	34522	3.1%
o	13786	1.2%
d	11684	1.1%
w	7944	0.7%
n	5842	0.5%
r	5842	0.5%

Uppercase Letter

Value	Count	Frequency (%)
W	504185	87.6%
O	28680	5.0%
S	28680	5.0%
M	7944	1.4%
A	5842	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1679209	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	512129	30.5%
b	512129	30.5%
W	504185	30.0%
i	34522	2.1%
O	28680	1.7%
S	28680	1.7%
o	13786	0.8%
d	11684	0.7%
M	7944	0.5%
w	7944	0.5%
Other values (3)	17526	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1679209	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	512129	30.5%
b	512129	30.5%
W	504185	30.0%
i	34522	2.1%
O	28680	1.7%
S	28680	1.7%
o	13786	0.8%
d	11684	0.7%
M	7944	0.5%
w	7944	0.5%
Other values (3)	17526	1.0%

country_destination
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

NDF	54850
GB	52705
ES	50518
US	47704
NL	47597
Other values (7)	293277

Length

Max length	5
Median length	2
Mean length	2.346374561
Min length	2

Characters and Unicode

Total characters	1282648
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NDF
2nd row	US
3rd row	other
4th row	US
5th row	US

Common Values

Value	Count	Frequency (%)
NDF	54850	10.0%
GB	52705	9.6%
ES	50518	9.2%
US	47704	8.7%
NL	47597	8.7%
PT	47100	8.6%
other	44832	8.2%
FR	43937	8.0%
CA	42544	7.8%
IT	40225	7.4%
Other values (2)	74639	13.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ndf	54850	10.0%
gb	52705	9.6%
es	50518	9.2%
us	47704	8.7%
nl	47597	8.7%
pt	47100	8.6%
other	44832	8.2%
fr	43937	8.0%
ca	42544	7.8%
it	40225	7.4%
Other values (2)	74639	13.7%

Most occurring characters

Value	Count	Frequency (%)
N	102447	8.0%
F	98787	7.7%
S	98222	7.7%
D	92685	7.2%
E	88353	6.9%
T	87325	6.8%
U	84508	6.6%
A	79348	6.2%
B	52705	4.1%
G	52705	4.1%
Other values (10)	445563	34.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1058488	82.5%
Lowercase Letter	224160	17.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	102447	9.7%
F	98787	9.3%
S	98222	9.3%
D	92685	8.8%
E	88353	8.3%
T	87325	8.2%
U	84508	8.0%
A	79348	7.5%
B	52705	5.0%
G	52705	5.0%
Other values (5)	221403	20.9%

Lowercase Letter

Value	Count	Frequency (%)
o	44832	20.0%
t	44832	20.0%
h	44832	20.0%
e	44832	20.0%
r	44832	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1282648	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	102447	8.0%
F	98787	7.7%
S	98222	7.7%
D	92685	7.2%
E	88353	6.9%
T	87325	6.8%
U	84508	6.6%
A	79348	6.2%
B	52705	4.1%
G	52705	4.1%
Other values (10)	445563	34.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1282648	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	102447	8.0%
F	98787	7.7%
S	98222	7.7%
D	92685	7.2%
E	88353	6.9%
T	87325	6.8%
U	84508	6.6%
A	79348	6.2%
B	52705	4.1%
G	52705	4.1%
Other values (10)	445563	34.7%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	signup_flow	days_from_first_active_until_account_created	days_from_account_created_until_first_booking	day_first_booking	day_of_week_first_booking	year_account_created	day_account_created	day_of_week_account_created	week_of_year_account_created	gender	age	signup_method	language	affiliate_channel	first_affiliate_tracked	signup_app	country_destination
0	0	732	1496	29	0	2011	25	2	21	MALE	38	facebook	en	seo	untracked	Web	NDF
1	3	476	-57	2	0	2010	28	1	39	FEMALE	56	basic	en	direct	untracked	Web	US
2	0	765	278	8	5	2011	5	0	49	FEMALE	42	facebook	en	direct	untracked	Web	other
3	0	280	-208	18	3	2010	14	1	37	-unknown-	41	basic	en	direct	untracked	Web	US
4	0	0	3	5	1	2010	2	5	53	FEMALE	46	basic	en	other	untracked	Web	US
5	0	0	10	13	2	2010	3	6	53	FEMALE	47	basic	en	direct	omg	Web	US
6	0	0	206	29	3	2010	4	0	1	FEMALE	50	basic	en	other	untracked	Web	US
7	0	0	0	4	0	2010	4	0	1	-unknown-	46	basic	en	other	omg	Web	US
8	0	0	2	6	2	2010	4	0	1	FEMALE	36	basic	en	other	untracked	Web	US
9	0	0	2001	29	0	2010	5	1	1	FEMALE	47	basic	en	other	untracked	Web	NDF

Last rows

	signup_flow	days_from_account_created_until_first_booking	day_first_booking	day_of_week_first_booking	year_account_created	day_account_created	day_of_week_account_created	week_of_year_account_created	gender	age	signup_method	language	affiliate_channel	first_affiliate_tracked	signup_app	country_destination
546641	0	1	19	3	2012	18	2	51	FEMALE	25	basic	en	direct	untracked	Web	other
546642	25	74	19	4	2014	5	2	12	FEMALE	30	basic	en	direct	untracked	iOS	other
546643	0	1	20	2	2013	19	1	47	MALE	25	basic	ko	sem-non-brand	omg	Web	other
546644	0	1	2	2	2013	1	1	40	FEMALE	41	basic	en	direct	omg	Web	other
546645	0	1	22	4	2012	21	3	12	FEMALE	33	basic	en	direct	linked	Web	other
546646	0	0	21	0	2014	21	0	17	-unknown-	41	basic	en	sem-brand	omg	Web	other
546647	0	55	26	5	2012	2	0	27	MALE	28	facebook	en	sem-brand	omg	Web	other
546648	0	22	12	3	2014	21	2	21	-unknown-	30	basic	en	direct	untracked	Web	other
546649	0	2	15	2	2014	13	0	3	FEMALE	30	basic	en	direct	linked	Web	other
546650	1	1	23	0	2012	22	6	29	FEMALE	24	basic	en	direct	linked	Web	other

Most frequently occurring

	day_first_booking	day_of_week_first_booking	year_account_created	day_account_created	day_of_week_account_created	week_of_year_account_created	gender	age	signup_method	language	affiliate_channel	first_affiliate_tracked	signup_app	country_destination	# duplicates
6749	15	5	2013	15	5	24	FEMALE	31	facebook	en	direct	untracked	Web	PT	132
113	1	2	2012	1	2	9	FEMALE	40	basic	en	sem-brand	linked	Web	PT	127
2531	6	3	2013	6	3	23	FEMALE	25	basic	en	direct	untracked	Web	PT	112
11243	25	5	2013	25	4	4	FEMALE	25	facebook	en	direct	linked	Web	PT	107
9966	23	0	2014	23	0	26	FEMALE	21	facebook	en	seo	untracked	Web	PT	97
12049	27	3	2013	27	3	26	FEMALE	45	basic	en	sem-non-brand	omg	Web	PT	96
913	3	0	2013	3	0	10	-unknown-	35	basic	en	sem-brand	omg	Web	PT	95
1041	3	1	2013	3	1	23	FEMALE	19	basic	en	direct	untracked	Web	PT	90
1954	5	1	2013	5	1	10	MALE	25	facebook	en	sem-brand	omg	Web	PT	86
5808	13	5	2013	13	5	27	-unknown-	36	basic	en	direct	untracked	Web	PT	86

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Space Separator